
On April 19th, we attended the presentation of the book, “Honest Signals: How they shape our world”, at Fundación Telefónica.
Although a couple of weeks have passed, we can’t help but mention in our blog, professor Alex Pentland’s analysis of a new area of study known as “social network science”.
Alex Pentland is Director of the Human Dynamics Lab and the Media Lab Entrepreneurship Program at MIT (Massachusetts Institute of Technology). He is the author of “Honest Signals: How they shape our world”, and begins the conference by pointing out the existence of two minds:
Habitual: Fast, Automatic and Associated
Attentive: Slow, Serial, Controlled, Rule Based
“Most decisions are made by the habitual brain, meaning our behavior is dominated by habits, routine. This is called habitual behavior.
Learning, according to prof. Pentland, occurs through imitation, social pressure, examples.
He also speaks of our ability as humans to interpret ourselves, and of software that is capable of reading our brain in a general way. Software to interpret humans.
This is getting interesting…
It seems obvious that our behavior can be very accurately predicted through the signals we emit, using, for example, devices such as mobile phones.
For Pentland, people use a second channel for social communication, independent of linguistic codes, that revolves around social relations, registering and decoding the “honest signals” that make up our social fabric and that are used to communicate, control the discovery and integration of information, and to make decisions.
According to this researcher, by observing people in a given social context, one may predict how things will evolve.
Adopting roles and social circuits seemed to create a kind of automatism in decision-making that works by extracting ideas from individuals and processing them, until one is chosen as the group decision.
Honest signals, which are automatic and unconscious (attitudes, sounds, gestures…), have great value. Pentland believes that organizations and businesses should take advantage of these natural patterns in human social circuits.
In order to measure these signals and predict individual and group behavior, the MIT lab has developed the sociometer, a small badge containing a micro-chip that is wirelessly connected to a network.
In short, these are tools and methods used to measure said signals and convert them into manageable information, in order to detect behavior patterns and predict individual and group behavior. We are witnessing the birth of a new and emerging area of academic study, known as network science, which seeks to understand people in the context of their social networks instead of considering them isolated individuals.
According to Pentland, in the future, we will be able to perceive the human environment with the same precision we now perceive the physical environment, which will give us microscopic knowledge of organizations and even entire societies, allowing us to design physical behavior models for human populations. We are witnessing the creation of “designed societies” which may very well function better than our current societies.
We would like to highlight one question a member of the audience posed on privacy and data ownership, which tends to be a concern for us all: What about our data?
The professor explains how individuals give their personal data, and through the use of parametric anonymous data, companies may generate value that will affect the whole of society. The data is ours, the technology transforms it by generating value that can be used by companies.
It is well worth taking a look at the book to find out more on this new area of study and these future designed societies.
Rocío Bravo of Ideas4all